Tensorflow Jobs - March 2020

Cortx | Machine Learning Engineer (Deep Learning) | Baltimore, Maryland | Onsite, Full-time

Cortx is a profitable, stable, and growing artificial intelligence startup that is building a tool that automatically writes content about any subject with the same level of quality, factual accuracy, and usefulness as a human.

You would be at the intersection of research and production code - taking our research roadmap and helping make it a reality.

This will involve training new models and making improvements to existing ones. You will constantly be ingesting research papers, finding and implementing ways to take nascent research concepts, and writing production code to apply it to our goals. You will be analyzing where our current methods are falling short and devising and implementing ways to improve and iterate.

You will be working directly with our Founder/CEO, who is leading the AI team, both as a manager and an individual contributor.

We sponsor all visas (including H1B and Green Card), and we pay market rates for SF/NYC despite being located in an area with a significantly cheaper cost of living.

We use majority TensorFlow but are starting to move to more PyTorch.

Apply by emailing alex@cortx.com with "HN" in the subject line.

PicnicHealth (YC S14) | San Francisco, CA | Full-Time, Onsite | https://picnichealth.com | Can transfer existing visas

PicnicHealth works with patients to collect, digitize, and manage their medical records, empowering them to monitor and control their care via a personal health timeline. Through partnerships with biotech, genomics, and pharma companies, we also aggregate and organize data from big groups of volunteers, which helps power some of today’s most cutting-edge medical research.

To learn more about who we are, our engineering culture, and whether this is the right place for you, read our Key Values profile: https://www.keyvalues.com/picnichealth

You can see all of our open roles here: https://grnh.se/3b566ba92

* Data Engineer: https://team.picnichealth.com/careerdetails?gh_jid=465624300...

* DevOps Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429762800...

* Engineering Manager: https://team.picnichealth.com/careerdetails?gh_jid=437728600...

* Front-End Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429755900...

* Full-Stack Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429692900...

* Machine Learning Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429760100...

* Data Scientist / Biostatistician: https://team.picnichealth.com/careerdetails?gh_jid=466020200...

* Product Manager, Patient Product: https://team.picnichealth.com/careerdetails?gh_jid=437728800...

Tech Stack: Our main web service is in Node.js, and most other services are in Python (mostly machine learning services, using Keras, Tensorflow, etc). Our frontend is React + Redux, database is PostgreSQL, and services run in a Kubernetes cluster hosted on Google Cloud Platform (Google Kubernetes Engine).

HyperCube | Software Engineer | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://www.hypercube.ai

Do you want to work on challenging machine learning and distributed systems problems? HyperCube is a real-time serving engine for deep learning retrieval applications.

We are looking for a software engineer with at least 2 years of experience.

Our current tech stack: AWS, Kubernetes, Python, C++.

Required experience

- At least one scripting language, such as Python, Scala, etc.

- At least one compiled language, such as C++, Go, Java, etc.

Preferred experience, 2 or more of the following:

- At least one deep learning framework, such as Tensorflow, PyTorch, MXNet, etc.

- Building web-scale services and/or distributed systems

- Productionizing machine learning models and applications

- Embeddings and nearest-neighbor search algorithms

- Information retrieval (i.e. Lucene, Elasticsearch, database internals, etc.)

- Hardware acceleration (CPU, GPU, TPU, FPGA, etc.)

HyperCube is a distributed team with offices in New York, NY, San Mateo, CA, and Tel Aviv, Israel. Our team includes world-class scientists and engineers who built large scale ML applications and platforms (including Amazon SageMaker) at leading companies and cloud providers. We are passionate about building great solutions by pushing the boundaries of science and technology.

Email amir [ at ] hypercube.ai, subject line "Hacker News March 2020", to apply or learn more.

Memora Health (https://memorahealth.com) | San Francisco, CA | ONSITE | Software Engineer, NLP/ML Engineer

Memora Health (YC W18) is a technology company helping hospitals reduce overhead and scale outpatient communication by automating care management over text message. Memora uses proprietary text classification techniques trained on phone calls, claims reports, and discharge plans to digitize each health care organization’s existing communication workflow.

We care more about the outcome and usage of our product than the technology that accomplishes it, and we're looking for like-minded engineers; we build software that powers interactions like these: https://www.memorahealth.com/postpartum.html

We're currently looking for Software Engineers (Full Stack, Frontend, Backend) to build our core product: a dashboard and content creation system and NLP/ML (applied) Engineers to build out the "AI" component of our platform - Felix - with better classifiers, text handling, parsing, etc.

Our stack:

- React/Redux (External)

- Angular (Internal)

- Node/JavaScript (ES6)

- Mongo

- NLTK/PyTorch/Tensorflow

- Python 3

- Docker + Kubernetes (on GCP)

We are company headed towards Series A and backed by top investors. We pay market rate and offer competitive benefits + equity; VISA sponsorship is possible. If any of this interests you get in contact with me (cooper [at] memorahealth [dot] com) and use [HN] in the subject line.

One Medical | San Francisco, CA | Full-time | https://www.onemedical.com/careers/ One Medical is the fastest-growing primary care system in the country with over 80 locations in major cities nationwide. You’ll find our clinics in Boston, Chicago, Los Angeles, New York, Phoenix, Seattle, the San Francisco Bay Area, Washington, DC, San Diego and most recently, Portland.

Here are some of our core technologies, that largely depends on your department: Angular, Python, AWS, Spark, Ruby, MySQL, Android, GraphQL, REST, Java, Cypress, Hadoop, PySpark, Tensorflow, AI/ML

- Engineering jobs - https://www.onemedical.com/careers/engineering/

- Principal Software Engineer (Fullstack) - https://www.onemedical.com/careers/all-departments/1152584/

- Clinical/IT/Doctors/Legal/Marketing/Operations/Sales/etc - https://www.onemedical.com/careers/all-departments/

In my own words, One Medical is a technology company that exists within the health care industry. It's inclusive, you work on problems that provide measurable benefits to people's lives, and we are growing quickly. As of this quarter, we are a public company. If you're in San Francisco or willing to relocate, I'd encourage you to check it out.

Recursion Pharmaceuticals | Salt Lake City, Utah | Onsite, Full-Time | www.recursionpharma.com/careers

We have raised over $200M to apply machine learning to one of the most unique datasets in existence - over 12 billion images of cells under a huge number of biological and chemical perturbations, generated in our own labs - in order to find treatments for hundreds of diseases. Our long term mission is to decode biology to radically improve lives - we want to understand biology so well that we can fix most things that go wrong in our bodies. Among other awesome folks, Yoshua Bengio is one of our advisors, and helps our ML team come up with novel ways of tackling these problems.

We’re looking for: * Software Engineering Manager (SLC, UT): Looking for an experienced Software Engineering Manager to join our team. You’ll lead and guide two of the most important aspects of our organization - our people and the definition/execution of our technical strategy.

* Machine Learning Scientist (Anywhere): Looking for a highly experienced senior/principal-level Machine Learning Scientist who wants a challenging problem, lots of rich data, and knowledge that their breakthroughs will seriously help people. No bio background needed.

* Sr. DevOps Engineer (SLC,UT): As a DevOps professional your contributions will benefit Biologists, Automation Scientists, and Data Scientists by building the infrastructure needed to decode human biology and reinvent drug discovery.

* CyberSecurity Threat Analyst (SLC,UT): As you work closely with IT, engineering, and data science teams, you will help promote best practices and help guide us to workflows that are more secure.

* Director of Data Science (SLC,UT): As a Director in data science, you'll work with, mentor, and develop our data scientists to grow and accomplish their missions to identify and answer questions and build systems to propel Recursion’s drug discovery engine forward.

Additional roles we are hiring for: * Sr. Data Engineer, Sr. Full Stack Software Developer, Data Science Intern, Software Engineering Intern, Biologist, Computational Chemists, Automation Engineer, and Drug Discovery experts. http://www.recursionpharma.com/careers for more details and to apply.

Logistics: Salt Lake City, Utah. Hiking/running/biking is literally out our back door, and it's half an hour to 6 ski resorts. Great competitive pay, health insurance, 401k, relocation assistance, equity, fully-paid gym membership, complementary chef-prepared meals everyday, two one-week paid company closures in addition to flexible, generous vacation, 70ft onsite rock climbing wall, commuter benefits, a top-caliber team, and help make a massively positive human impact. Happy to sponsor/extend visas.

Tech: Data Science: pydata stack (pandas, numpy, scikit-learn, matplotlib, bokeh, tensorflow w/keras, etc), a cluster of GPUs for all your research ideas Software Engineering: python, clojure[script], javascript, go, react.js, kafka, kubernetes (GKE), GCE, AWS

Our team of 160 so far: http://www.recursionpharma.com/team